Self-supervised representation learning for ultrasound video

Self-supervised representation learning for ultrasound video

Recent advances in deep learning have achieved promising performance for medical image analysis, while in most cases ground-truth annotations from human experts are necessary to train the deep model. In practice, such annotations are expensive to collect and can be scarce for medical imaging applica...

書誌詳細
主要な著者:	Jaio, J, Droste, R, Drukker, L, Papageorghiou, A, Noble, J
フォーマット:	Conference item
言語:	English
出版事項:	IEEE 2020

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